Stanford Medicine magazine explores the molecules behind human biology and how understanding them fuels medical discoveries and innovations.
Stanford researchers are developing a faster way to match each ulcerative colitis patient with the treatment that will work best for them.
Using a new approach that harnesses the power of precision, Stanford Medicine researchers are devising new ways to treat depression.
A Stanford-led study of twins with and without food allergies has uncovered differences in the fecal bacteria of allergic and non-allergic individuals.
Stanford Medicine researchers found that, based on genetic makeup, 99.5% of people are likely to have an atypical response to at least one drug.
MicroRNA in the blood holds clues to heart problems in adults born with tetralogy of Fallot, a type of congenital heart disease, Stanford research shows.
The 2020 Nobel Prize in Chemistry recognized the scientists who developed the CRISPR-Cas9 gene-editing technology. Here's how it's changing medicine.
Scientists have created an AI tool to help doctors more precisely choose colorectal cancer treatments that will work best on individual patients.
A smartphone add-on, devised by an emergency medicine physician now at Stanford, detected a drunken stagger, through side-to-side sway, with 90% accuracy.
Researchers have developed a sensor system on a smartwatch that uses sweat to determine the level of acetaminophen in the body.
Stanford stem cell biologists have found a way to block a signal that causes growth of breast cancer cells, opening potential for new treatments.
A Stanford oncologist discusses how to improve cancer diagnosis and treatment, including using predictive modeling, liquid biopsies and immunotherapy.
Ethical and legal issues accompany the potential benefits of using computer vision-based ambient intelligence in health care.
The new Stanford Hospital is a high-tech place of healing for patients and families, and a place of innovation and well-being for employees and clinicians.
A Stanford biomedical data scientist discusses how computational modeling of big data could help improve personalized chemotherapy selection in the future.
Inspired by personal experience, Stanford Medicine's Megan Mahoney devised a primary care pilot to center around patients and their goals.
